SciML / SciML/JumpProcesses.jl
systematically passing around user rngs
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 150
- Forks
- 41
- Avg merge
- 1d 9h
- Merged PRs (30d)
- 28
Description
In https://github.com/SciML/DiffEqJump.jl/pull/225 I couldn't consistently use the user-provided rng to JumpProblem as some places only have integrators as input (for example in callbacks). It would be nice to have a consistent interface for setting and getting at a rng across DiffEqJump (or even better SciML). Maybe stashing it in the integrator makes sense?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by tracing JumpProblem and the callback paths where only an integrator is available, then compare how user-provided RNGs are currently passed through DiffEqJump. Done means there is a decided, consistent interface for setting and getting the user RNG across the affected paths.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- api
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100